Neural networks: An overview of early research, current frameworks and new challenges

A Prieto, B Prieto, EM Ortigosa, E Ros, F Pelayo… - Neurocomputing, 2016 - Elsevier
This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …

[图书][B] Adaptive approximation based control: unifying neural, fuzzy and traditional adaptive approximation approaches

JA Farrell, MM Polycarpou - 2006 - books.google.com
A highly accessible and unified approach to the design and analysis of intelligent control
systems Adaptive Approximation Based Control is a tool every control designer should have …

Wavelet neural networks: A practical guide

AK Alexandridis, AD Zapranis - Neural Networks, 2013 - Elsevier
Wavelet networks (WNs) are a new class of networks which have been used with great
success in a wide range of applications. However a general accepted framework for …

Constructive incremental learning from only local information

S Schaal, CG Atkeson - Neural computation, 1998 - ieeexplore.ieee.org
We introduce a constructive, incremental learning system for regression problems that
models data by means of spatially localized linear models. In contrast to other approaches …

[图书][B] The control systems handbook: control system advanced methods

WS Levine - 2018 - books.google.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Bayesian nonparametric adaptive control using Gaussian processes

G Chowdhary, HA Kingravi, JP How… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Most current model reference adaptive control (MRAC) methods rely on parametric adaptive
elements, in which the number of parameters of the adaptive element are fixed a priori, often …

Modelling and control for intelligent industrial systems

GG Rigatos - adaptive algorithms in robotics and industrial …, 2011 - Springer
Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

Scalable techniques from nonparametric statistics for real time robot learning

S Schaal, CG Atkeson, S Vijayakumar - Applied Intelligence, 2002 - Springer
Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that
provides useful representations and training algorithms for learning about complex …

Nonsingular terminal sliding mode control of robot manipulators using fuzzy wavelet networks

CK Lin - IEEE transactions on fuzzy systems, 2006 - ieeexplore.ieee.org
This paper presents an adaptive nonsingular terminal sliding mode (NTSM) tracking control
design for robotic systems using fuzzy wavelet networks. Compared with linear hyperplane …

Fuzzy wavelet networks for function learning

DWC Ho, PA Zhang, J Xu - IEEE Transactions on Fuzzy …, 2001 - ieeexplore.ieee.org
Inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy
concepts, a fuzzy wavelet network (FWN) is proposed for approximating arbitrary nonlinear …